SemesterSpring Semester, 2025
DepartmentMaster's Program in Global Communication and Innovation Technology, First Year Master's Program in Global Communication and Innovation Technology, Second Year
Course NameNew Media, Technology and Society
InstructorHSIEH PEI-HSUAN
Credit3.0
Course TypeRequired
Prerequisite
Course Objective
Course Description
Course Schedule






























































































































Week

Date

Topic

Content and Reading Assignment

Teaching Activities and HW

1

Feb 20

Intro.

Syllabus Review, Account Setup

Lecture



2

Feb 27

GenAI



[ Da Yong building 210207 ]

Intro. to Generative AI Image and Video

Lecture (Prof. Li)

3

Mar 06

Generative AI and Creativity

Lecture (Prof. Li)

4

Mar 13

Generative AI and Innovation

Lecture (Prof. Li)

5

Mar 20

Generative AI in Communication

Lecture (Prof. Li)

6

Mar 27

Generative AI and Zeitgeist

Lecture (Prof. Li)

7

Apr 03

[NO CLASS] Group Project Presentation

Video Recordings

8

Apr 10

Digitalized Society



 



 

Invited Talk and Lecture - Consulting and Healthcare [ Da Yong building TBA: either 21207 or 210315 depending on speaker's final selection]



Lecture and I.T. 1/6

9

Apr 17

Arts and Humanity [ Da Yong building 210315 ] 

Lecture and I.T. 2/6

10

Apr 24

Local site (confirmed)

Lecture and G.T. 1/3

11

May 01

Finance and Marketing [ Da Yong building 21207; after 4:00 Computer Center Room2 ] 

Lecture and I.T. 3/6

12

May 08

Invited Talk and Lecture [Administration Building 7th Floor Meeting Room #1]

Lecture and G.T. 2/3

13

May 15

RAG



[ Da Yong building 210315 ]

*Invited Talk and Lecture [ Da Yong building 21207; after 4:00 Computer Center Room2 ] 

Lecture and I.T. 4/6

14

May 22

Intro. to RAG

Lecture

15

May 29

Workshop (follow-up May 22)

Lecture and I.T. 5/6

16

Jun 05

Outreach



[ Off Campus ]

*Invited Talk and Lecture

G.T. 3/3

17

Jun 12

*Local + Global sites (confirmed)

Double check all GTs and I.T. 6/6

18

Jun 19

*Invited Talk Sustainability + Innovation

Online I.T. 6/6



Internship Recruitment 


* TBD = To be determined; I.T. = Individual Task; G.T. = Group Task



 


Teaching Methods
Teaching Assistant

Karolina Kubicova


Requirement/Grading

40% Group Project Presentation - Video Recording (by Prof. Li)



30% Ind. hands-on sessions - six times (by Prof. Hsieh)



30% Group assigned tasks - three times (by Prof. Hsieh)



Extra-credit points released on Mar 13: Visit this place during your free time and then write a brief report with some photos/selfies (better), so that I can give you an extra 2 points in the final scores.)


Textbook & Reference

Textbook:



*Lyu, Z. (2024). Applications of Generative AI. Springer.  @NCCU Library free to download



 



References:



*Kulkarni, A., Shivananda, A., Kulkarni, A., & Gudivada, D. (2024). Applied Generative AI for beginners: Practical knowledge on diffusion models, ChatGPT, and other LLMs. California, CA: Apress.  @NCCU Library free to download



*Marr, B. (2024). Generative AI in practice: 100+ amazing ways generative artificial intelligence is changing business and society. Hoboken, NJ : Wiley. @NCCU Library on loan



*Smith, J. (2024). RAG Generative AI: A Practical Guide to Building Custom Retrieval-Augmented Pipelines and Enhancing AI Systems. Independently published. @Amazon



*Huang, K., Wang, Y., Goertzel, B., Li, Y., Wright, S., & Ponnapalli, J. (2024). Generative AI security: Theories and practices. Switzerland: Springer Nature. @NCCU Library free to download


Urls about Course
https://github.com/ https://www.kaggle.com/ https://aws.amazon.com/ai/generative-ai/ https://www.nvidia.com/en-us/glossary/retrieval-augmented-generation/ https://www2.deloitte.com/us/en/insights/topics/digital-transformation.html
Attachment